Advances in artificial intelligence, sensors and big data management have far-reaching
societal impacts. As these systems augment our everyday lives, it becomes increasing-ly …

Explainable Artificial Intelligence (XAI) has re-emerged in response to the development of
modern AI and ML systems. These systems are complex and sometimes biased, but they …

The need for interpretable and accountable intelligent systems grows along with the
prevalence of artificial intelligence (AI) applications used in everyday life. Explainable AI …

Interest in the field of Explainable Artificial Intelligence has been growing for decades, and
has accelerated recently. As Artificial Intelligence models have become more complex, and …

The realm of Artificial Intelligence (AI)'s impact on our lives is far reaching–with AI systems
proliferating high-stakes domains such as healthcare, finance, mobility, law, etc., these …

Artificial Intelligence (AI) has become an integral part of domains such as security, finance,
healthcare, medicine, and criminal justice. Explaining the decisions of AI systems in human …

The interdisciplinary field of explainable artificial intelligence (XAI) aims to foster human
understanding of black-box machine learning models through explanation-generating …

With growing adoption of AI across fields such as healthcare, finance, and the justice
system, explaining an AI decision has become more important than ever before …

The development of theory, frameworks and tools for Explainable AI (XAI) is a very active
area of research these days, and articulating any kind of coherence on a vision and …

The lack of transparency of powerful Machine Learning systems paired with their growth in
popularity over the last decade led to the emergence of the eXplainable Artificial Intelligence …